Update README.md

README.md

@@ -1,20 +1,20 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: google-bert/bert-base-uncased
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: bert-banking-intent
-  results: []
-datasets:
-- hf-tuner/banking-intent
-language:
-- en
-pipeline_tag: text-classification
----
+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-banking-intent
+  results: []
+datasets:
+- hf-tuner/banking-intent
+language:
+- en
+pipeline_tag: text-classification
+---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
@@ -27,6 +27,18 @@ It achieves the following results on the evaluation set:
 - Loss: 0.0079
 - Accuracy: 0.9993
 
+### How to Get Started with the Model
+
+```py
+
+from transformers import pipeline
+
+classifier = pipeline("text-classification", model = "hf-tuner/bert-banking-intent")
+classifier("Please help me get a new card, I reside in the United States.")
+## [{'label': 'country_support', 'score': 0.997}]
+
+```
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: